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<div class="title">SparseAssign.h</div>  </div>
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<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2008-2014 Gael Guennebaud &lt;gael.guennebaud@inria.fr&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#ifndef EIGEN_SPARSEASSIGN_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#define EIGEN_SPARSEASSIGN_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> { </div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160; </div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;    </div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt;</div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;Derived&amp; SparseMatrixBase&lt;Derived&gt;::operator=(<span class="keyword">const</span> EigenBase&lt;OtherDerived&gt; &amp;other)</div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;  internal::call_assignment_no_alias(derived(), other.derived());</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;  <span class="keywordflow">return</span> derived();</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;}</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160; </div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt;</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;Derived&amp; SparseMatrixBase&lt;Derived&gt;::operator=(<span class="keyword">const</span> ReturnByValue&lt;OtherDerived&gt;&amp; other)</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;{</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;  <span class="comment">// TODO use the evaluator mechanism</span></div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;  other.evalTo(derived());</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;  <span class="keywordflow">return</span> derived();</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;}</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160; </div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt;</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">inline</span> Derived&amp; SparseMatrixBase&lt;Derived&gt;::operator=(<span class="keyword">const</span> SparseMatrixBase&lt;OtherDerived&gt;&amp; other)</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;{</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;  <span class="comment">// by default sparse evaluation do not alias, so we can safely bypass the generic call_assignment routine</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;  internal::Assignment&lt;Derived,OtherDerived,internal::assign_op&lt;Scalar,typename OtherDerived::Scalar&gt; &gt;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;          ::run(derived(), other.derived(), internal::assign_op&lt;Scalar,typename OtherDerived::Scalar&gt;());</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;  <span class="keywordflow">return</span> derived();</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;}</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160; </div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">inline</span> Derived&amp; SparseMatrixBase&lt;Derived&gt;::operator=(<span class="keyword">const</span> Derived&amp; other)</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  internal::call_assignment_no_alias(derived(), other.derived());</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  <span class="keywordflow">return</span> derived();</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;}</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160; </div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160; </div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keyword">struct </span>storage_kind_to_evaluator_kind&lt;Sparse&gt; {</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;  <span class="keyword">typedef</span> IteratorBased Kind;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;};</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160; </div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="keyword">struct </span>storage_kind_to_shape&lt;Sparse&gt; {</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  <span class="keyword">typedef</span> SparseShape Shape;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;};</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160; </div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="keyword">struct </span>Sparse2Sparse {};</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keyword">struct </span>Sparse2Dense  {};</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160; </div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="keyword">template</span>&lt;&gt; <span class="keyword">struct </span>AssignmentKind&lt;SparseShape, SparseShape&gt;           { <span class="keyword">typedef</span> Sparse2Sparse Kind; };</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="keyword">template</span>&lt;&gt; <span class="keyword">struct </span>AssignmentKind&lt;SparseShape, SparseTriangularShape&gt; { <span class="keyword">typedef</span> Sparse2Sparse Kind; };</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="keyword">template</span>&lt;&gt; <span class="keyword">struct </span>AssignmentKind&lt;DenseShape,  SparseShape&gt;           { <span class="keyword">typedef</span> Sparse2Dense  Kind; };</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="keyword">template</span>&lt;&gt; <span class="keyword">struct </span>AssignmentKind&lt;DenseShape,  SparseTriangularShape&gt; { <span class="keyword">typedef</span> Sparse2Dense  Kind; };</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160; </div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160; </div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> SrcXprType&gt;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="keywordtype">void</span> assign_sparse_to_sparse(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src)</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;{</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> DstXprType::Scalar Scalar;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;  <span class="keyword">typedef</span> internal::evaluator&lt;DstXprType&gt; DstEvaluatorType;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  <span class="keyword">typedef</span> internal::evaluator&lt;SrcXprType&gt; SrcEvaluatorType;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160; </div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;  SrcEvaluatorType srcEvaluator(src);</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160; </div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">bool</span> transpose = (DstEvaluatorType::Flags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) != (SrcEvaluatorType::Flags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>);</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> outerEvaluationSize = (SrcEvaluatorType::Flags&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) ? src.rows() : src.cols();</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;  <span class="keywordflow">if</span> ((!transpose) &amp;&amp; src.isRValue())</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  {</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="comment">// eval without temporary</span></div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    dst.resize(src.rows(), src.cols());</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    dst.setZero();</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    dst.reserve((std::min)(src.rows()*src.cols(), (std::max)(src.rows(),src.cols())*2));</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;outerEvaluationSize; ++j)</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    {</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;      dst.startVec(j);</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;      <span class="keywordflow">for</span> (<span class="keyword">typename</span> SrcEvaluatorType::InnerIterator it(srcEvaluator, j); it; ++it)</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;      {</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        Scalar v = it.value();</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        dst.insertBackByOuterInner(j,it.index()) = v;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;      }</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    }</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    dst.finalize();</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  }</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  {</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="comment">// eval through a temporary</span></div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    eigen_assert(( ((internal::traits&lt;DstXprType&gt;::SupportedAccessPatterns &amp; OuterRandomAccessPattern)==OuterRandomAccessPattern) ||</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;              (!((DstEvaluatorType::Flags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) != (SrcEvaluatorType::Flags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>)))) &amp;&amp;</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;              <span class="stringliteral">&quot;the transpose operation is supposed to be handled in SparseMatrix::operator=&quot;</span>);</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160; </div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keyword">enum</span> { Flip = (DstEvaluatorType::Flags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) != (SrcEvaluatorType::Flags &amp; <a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) };</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    </div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    DstXprType temp(src.rows(), src.cols());</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160; </div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    temp.reserve((std::min)(src.rows()*src.cols(), (std::max)(src.rows(),src.cols())*2));</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;outerEvaluationSize; ++j)</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    {</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;      temp.startVec(j);</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;      <span class="keywordflow">for</span> (<span class="keyword">typename</span> SrcEvaluatorType::InnerIterator it(srcEvaluator, j); it; ++it)</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;      {</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        Scalar v = it.value();</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        temp.insertBackByOuterInner(Flip?it.index():j,Flip?j:it.index()) = v;</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;      }</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    }</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    temp.finalize();</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160; </div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    dst = temp.markAsRValue();</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;  }</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;}</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160; </div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;<span class="comment">// Generic Sparse to Sparse assignment</span></div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> SrcXprType, <span class="keyword">typename</span> Functor&gt;</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, SrcXprType, Functor, Sparse2Sparse&gt;</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;{</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::assign_op&lt;typename DstXprType::Scalar,typename SrcXprType::Scalar&gt; &amp;<span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;  {</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    assign_sparse_to_sparse(dst.derived(), src.derived());</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  }</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;};</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160; </div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;<span class="comment">// Generic Sparse to Dense assignment</span></div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> SrcXprType, <span class="keyword">typename</span> Functor, <span class="keyword">typename</span> Weak&gt;</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, SrcXprType, Functor, Sparse2Dense, Weak&gt;</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;{</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> Functor &amp;func)</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  {</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <span class="keywordflow">if</span>(internal::is_same&lt;Functor,internal::assign_op&lt;typename DstXprType::Scalar,typename SrcXprType::Scalar&gt; &gt;::value)</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;      dst.setZero();</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    </div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    internal::evaluator&lt;SrcXprType&gt; srcEval(src);</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    resize_if_allowed(dst, src, func);</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    internal::evaluator&lt;DstXprType&gt; dstEval(dst);</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    </div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> outerEvaluationSize = (internal::evaluator&lt;SrcXprType&gt;::Flags&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) ? src.rows() : src.cols();</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <span class="keywordflow">for</span> (<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j=0; j&lt;outerEvaluationSize; ++j)</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;      <span class="keywordflow">for</span> (<span class="keyword">typename</span> internal::evaluator&lt;SrcXprType&gt;::InnerIterator i(srcEval,j); i; ++i)</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        func.assignCoeff(dstEval.coeffRef(i.row(),i.col()), i.value());</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  }</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;};</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160; </div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="comment">// Specialization for dense ?= dense +/- sparse and dense ?= sparse +/- dense</span></div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> Func1, <span class="keyword">typename</span> Func2&gt;</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;<span class="keyword">struct </span>assignment_from_dense_op_sparse</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;{</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> SrcXprType, <span class="keyword">typename</span> InitialFunc&gt;</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;  <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> InitialFunc&amp; <span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  {</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;<span class="preprocessor">    #ifdef EIGEN_SPARSE_ASSIGNMENT_FROM_DENSE_OP_SPARSE_PLUGIN</span></div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    EIGEN_SPARSE_ASSIGNMENT_FROM_DENSE_OP_SPARSE_PLUGIN</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;<span class="preprocessor">    #endif</span></div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160; </div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    call_assignment_no_alias(dst, src.lhs(), Func1());</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    call_assignment_no_alias(dst, src.rhs(), Func2());</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  }</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160; </div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  <span class="comment">// Specialization for dense1 = sparse + dense2; -&gt; dense1 = dense2; dense1 += sparse;</span></div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  std::enable_if_t&lt;internal::is_same&lt;typename internal::evaluator_traits&lt;Rhs&gt;::Shape,DenseShape&gt;::value&gt;</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;  run(DstXprType &amp;dst, <span class="keyword">const</span> CwiseBinaryOp&lt;internal::scalar_sum_op&lt;Scalar,Scalar&gt;, <span class="keyword">const</span> Lhs, <span class="keyword">const</span> Rhs&gt; &amp;src,</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;      <span class="keyword">const</span> internal::assign_op&lt;typename DstXprType::Scalar,Scalar&gt;&amp; <span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;  {</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="preprocessor">    #ifdef EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_ADD_DENSE_PLUGIN</span></div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_ADD_DENSE_PLUGIN</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;<span class="preprocessor">    #endif</span></div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160; </div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    <span class="comment">// Apply the dense matrix first, then the sparse one.</span></div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    call_assignment_no_alias(dst, src.rhs(), Func1());</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    call_assignment_no_alias(dst, src.lhs(), Func2());</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  }</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160; </div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;  <span class="comment">// Specialization for dense1 = sparse - dense2; -&gt; dense1 = -dense2; dense1 += sparse;</span></div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Lhs, <span class="keyword">typename</span> Rhs, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;  std::enable_if_t&lt;internal::is_same&lt;typename internal::evaluator_traits&lt;Rhs&gt;::Shape,DenseShape&gt;::value&gt;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;  run(DstXprType &amp;dst, <span class="keyword">const</span> CwiseBinaryOp&lt;internal::scalar_difference_op&lt;Scalar,Scalar&gt;, <span class="keyword">const</span> Lhs, <span class="keyword">const</span> Rhs&gt; &amp;src,</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;      <span class="keyword">const</span> internal::assign_op&lt;typename DstXprType::Scalar,Scalar&gt;&amp; <span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;  {</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;<span class="preprocessor">    #ifdef EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_SUB_DENSE_PLUGIN</span></div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    EIGEN_SPARSE_ASSIGNMENT_FROM_SPARSE_SUB_DENSE_PLUGIN</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;<span class="preprocessor">    #endif</span></div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160; </div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <span class="comment">// Apply the dense matrix first, then the sparse one.</span></div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    call_assignment_no_alias(dst, -src.rhs(), Func1());</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    call_assignment_no_alias(dst,  src.lhs(), add_assign_op&lt;typename DstXprType::Scalar,typename Lhs::Scalar&gt;());</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;  }</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;};</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160; </div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;<span class="preprocessor">#define EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(ASSIGN_OP,BINOP,ASSIGN_OP2) \</span></div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;<span class="preprocessor">  template&lt; typename DstXprType, typename Lhs, typename Rhs, typename Scalar&gt; \</span></div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;<span class="preprocessor">  struct Assignment&lt;DstXprType, CwiseBinaryOp&lt;internal::BINOP&lt;Scalar,Scalar&gt;, const Lhs, const Rhs&gt;, internal::ASSIGN_OP&lt;typename DstXprType::Scalar,Scalar&gt;, \</span></div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;<span class="preprocessor">                    Sparse2Dense, \</span></div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;<span class="preprocessor">                    std::enable_if_t&lt;   internal::is_same&lt;typename internal::evaluator_traits&lt;Lhs&gt;::Shape,DenseShape&gt;::value \</span></div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;<span class="preprocessor">                                     || internal::is_same&lt;typename internal::evaluator_traits&lt;Rhs&gt;::Shape,DenseShape&gt;::value&gt;&gt; \</span></div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;<span class="preprocessor">    : assignment_from_dense_op_sparse&lt;DstXprType, internal::ASSIGN_OP&lt;typename DstXprType::Scalar,typename Lhs::Scalar&gt;, internal::ASSIGN_OP2&lt;typename DstXprType::Scalar,typename Rhs::Scalar&gt; &gt; \</span></div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;<span class="preprocessor">  {}</span></div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160; </div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(assign_op,    scalar_sum_op,add_assign_op);</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(add_assign_op,scalar_sum_op,add_assign_op);</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(sub_assign_op,scalar_sum_op,sub_assign_op);</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160; </div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(assign_op,    scalar_difference_op,sub_assign_op);</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(add_assign_op,scalar_difference_op,sub_assign_op);</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;EIGEN_CATCH_ASSIGN_DENSE_OP_SPARSE(sub_assign_op,scalar_difference_op,add_assign_op);</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160; </div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160; </div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;<span class="comment">// Specialization for &quot;dst = dec.solve(rhs)&quot;</span></div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;<span class="comment">// NOTE we need to specialize it for Sparse2Sparse to avoid ambiguous specialization error</span></div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> DecType, <span class="keyword">typename</span> RhsType, <span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, Solve&lt;DecType,RhsType&gt;, internal::assign_op&lt;Scalar,Scalar&gt;, Sparse2Sparse&gt;</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;{</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  <span class="keyword">typedef</span> Solve&lt;DecType,RhsType&gt; SrcXprType;</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(DstXprType &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::assign_op&lt;Scalar,Scalar&gt; &amp;)</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;  {</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> dstRows = src.rows();</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> dstCols = src.cols();</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keywordflow">if</span>((dst.rows()!=dstRows) || (dst.cols()!=dstCols))</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;      dst.resize(dstRows, dstCols);</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160; </div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    src.dec()._solve_impl(src.rhs(), dst);</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;  }</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;};</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160; </div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;<span class="keyword">struct </span>Diagonal2Sparse {};</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160; </div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;<span class="keyword">template</span>&lt;&gt; <span class="keyword">struct </span>AssignmentKind&lt;SparseShape,DiagonalShape&gt; { <span class="keyword">typedef</span> Diagonal2Sparse Kind; };</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160; </div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> DstXprType, <span class="keyword">typename</span> SrcXprType, <span class="keyword">typename</span> Functor&gt;</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;<span class="keyword">struct </span>Assignment&lt;DstXprType, SrcXprType, Functor, Diagonal2Sparse&gt;</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;{</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> DstXprType::StorageIndex StorageIndex;</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> DstXprType::Scalar Scalar;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160; </div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> Options, <span class="keyword">typename</span> AssignFunc&gt;</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrix&lt;Scalar,Options,StorageIndex&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> AssignFunc &amp;func)</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  { dst.assignDiagonal(src.diagonal(), func); }</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;  </div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DstDerived&gt;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrixBase&lt;DstDerived&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::assign_op&lt;typename DstXprType::Scalar,typename SrcXprType::Scalar&gt; &amp;<span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  { dst.derived().diagonal() = src.diagonal(); }</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;  </div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DstDerived&gt;</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrixBase&lt;DstDerived&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::add_assign_op&lt;typename DstXprType::Scalar,typename SrcXprType::Scalar&gt; &amp;<span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;  { dst.derived().diagonal() += src.diagonal(); }</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;  </div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> DstDerived&gt;</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;  <span class="keyword">static</span> <span class="keywordtype">void</span> run(SparseMatrixBase&lt;DstDerived&gt; &amp;dst, <span class="keyword">const</span> SrcXprType &amp;src, <span class="keyword">const</span> internal::sub_assign_op&lt;typename DstXprType::Scalar,typename SrcXprType::Scalar&gt; &amp;<span class="comment">/*func*/</span>)</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;  { dst.derived().diagonal() -= src.diagonal(); }</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;};</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;} <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160; </div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160; </div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_SPARSEASSIGN_H</span></div>
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<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div><div class="ttdef"><b>Definition:</b> Core:139</div></div>
<div class="ttc" id="anamespaceEigen_html_a62e77e0933482dafde8fe197d9a2cfde"><div class="ttname"><a href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Eigen::Index</a></div><div class="ttdeci">EIGEN_DEFAULT_DENSE_INDEX_TYPE Index</div><div class="ttdoc">The Index type as used for the API.</div><div class="ttdef"><b>Definition:</b> Meta.h:59</div></div>
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